Descriptive Statistics

The mean is the sum of all values divided by the number of values in a dataset. It is a measure of the average value in a dataset.

The range is the difference between the largest and smallest values in a dataset. It is a measure of how spread out the data is.

The mean is calculated by adding up all the values in a dataset and dividing the sum by the number of values.

The median is the middle value of a dataset when assorted in numerical order.

The mode is the most frequently occurring value in a dataset.

Histograms, bar charts, pie charts, and scatter plots are all graphical representations of data.

A histogram is a graphical representation of the distribution of data. It shows the frequency of occurrence of different values in a dataset.

A bar chart is a graphical representation of two or more datasets. It allows for easy comparison of the datasets.

A pie chart is a graphical representation of the proportion of each category in a dataset.

A scatter plot is a graphical representation of the relationship between two variables. It shows how the values of one variable change in relation to the values of the other variable.

The skewness coefficient is a measure of the asymmetry of a distribution. It can be positive or negative, indicating whether the distribution is skewed to the right or left, respectively.

The kurtosis coefficient is a measure of the peakedness or flatness of a distribution. It can be positive or negative, indicating whether the distribution is more peaked or flatter than a normal distribution, respectively.

A population is a group of all individuals or objects of interest, while a sample is a subset of the population.

Sampling is used to obtain information about a population, make inferences about a population, and test hypotheses about a population.

There are two main types of sampling methods: probability sampling and non-probability sampling.